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Senior Data Scientist - Special Projects - Amazon
Data Scientist
Lead cutting‑edge data science initiatives, building scalable models and insights on Amazon’s Special Projects platform using Python, ML, and AWS to solve large‑scale business challenges.
About the role
Key Responsibilities
- Design, develop, and deploy advanced statistical models and machine learning pipelines to extract actionable insights from complex, large‑scale datasets.
- Collaborate with cross‑functional teams to translate business problems into data‑driven solutions and present findings to senior stakeholders.
- Leverage AWS services (SageMaker, Redshift, EMR) to build scalable data infrastructure and automate model training and evaluation workflows.
- Conduct rigorous experimentation, A/B testing, and causal inference to validate model performance and business impact.
- Mentor junior data scientists, fostering a culture of continuous learning and best practices in data science.
Requirements
- PhD or Master’s in Statistics, Computer Science, or related field with 5+ years of industry experience in data science.
- Proficiency in Python, SQL, and experience with ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Strong background in statistical modeling, hypothesis testing, and causal inference.
- Hands‑on experience with AWS data services and big‑data processing frameworks (Spark, Hadoop).
- Excellent communication skills and ability to convey complex technical concepts to non‑technical audiences.
Skills
pythonmachine learningsqlaws